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Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005

Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 PDF Author: Wlodzislaw Duch
Publisher: Springer Science & Business Media
ISBN: 3540287558
Category : Computers
Languages : en
Pages : 1045

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Book Description
The two volume set LNCS 3696 and LNCS 3697 constitutes the refereed proceedings of the 15th International Conference on Artificial Neural Networks, ICANN 2005, held in Warsaw, Poland in September 2005. The over 600 papers submitted to ICANN 2005 were thoroughly reviewed and carefully selected for presentation. The first volume includes 106 contributions related to Biological Inspirations; topics addressed are modeling the brain and cognitive functions, development of cognitive powers in embodied systems spiking neural networks, associative memory models, models of biological functions, projects in the area of neuroIT, evolutionary and other biological inspirations, self-organizing maps and their applications, computer vision, face recognition and detection, sound and speech recognition, bioinformatics, biomedical applications, and information- theoretic concepts in biomedical data analysis. The second volume contains 162 contributions related to Formal Models and their Applications and deals with new neural network models, supervised learning algorithms, ensemble-based learning, unsupervised learning, recurent neural networks, reinforcement learning, bayesian approaches to learning, learning theory, artificial neural networks for system modeling, decision making, optimalization and control, knowledge extraction from neural networks, temporal data analysis, prediction and forecasting, support vector machines and kernel-based methods, soft computing methods for data representation, analysis and processing, data fusion for industrial, medical and environmental applications, non-linear predictive models for speech processing, intelligent multimedia and semantics, applications to natural language processing, various applications, computational intelligence in games, and issues in hardware implementation.

Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005

Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 PDF Author: Wlodzislaw Duch
Publisher: Springer Science & Business Media
ISBN: 3540287558
Category : Computers
Languages : en
Pages : 1045

View

Book Description
The two volume set LNCS 3696 and LNCS 3697 constitutes the refereed proceedings of the 15th International Conference on Artificial Neural Networks, ICANN 2005, held in Warsaw, Poland in September 2005. The over 600 papers submitted to ICANN 2005 were thoroughly reviewed and carefully selected for presentation. The first volume includes 106 contributions related to Biological Inspirations; topics addressed are modeling the brain and cognitive functions, development of cognitive powers in embodied systems spiking neural networks, associative memory models, models of biological functions, projects in the area of neuroIT, evolutionary and other biological inspirations, self-organizing maps and their applications, computer vision, face recognition and detection, sound and speech recognition, bioinformatics, biomedical applications, and information- theoretic concepts in biomedical data analysis. The second volume contains 162 contributions related to Formal Models and their Applications and deals with new neural network models, supervised learning algorithms, ensemble-based learning, unsupervised learning, recurent neural networks, reinforcement learning, bayesian approaches to learning, learning theory, artificial neural networks for system modeling, decision making, optimalization and control, knowledge extraction from neural networks, temporal data analysis, prediction and forecasting, support vector machines and kernel-based methods, soft computing methods for data representation, analysis and processing, data fusion for industrial, medical and environmental applications, non-linear predictive models for speech processing, intelligent multimedia and semantics, applications to natural language processing, various applications, computational intelligence in games, and issues in hardware implementation.

Artificial Neural Networks: Biological Inspirations – ICANN 2005

Artificial Neural Networks: Biological Inspirations – ICANN 2005 PDF Author: Wlodzislaw Duch
Publisher: Springer
ISBN: 354028754X
Category : Computers
Languages : en
Pages : 708

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Book Description
This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005), held on September 11–15, 2005 in Warsaw, Poland, with several accompanying workshops held on September 15, 2005 at the Nicolaus Copernicus University, Toru , Poland. The ICANN conference is an annual meeting organized by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society, and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in those fields. In 2005 the ICANN conference was organized by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and the Nicolaus Copernicus Univ- sity, Toru , Poland. From over 600 papers submitted to the regular sessions and some 10 special c- ference sessions, the International Program Committee selected – after a thorough peer-review process – about 270 papers for publication. The large number of papers accepted is certainly a proof of the vitality and attractiveness of the field of artificial neural networks, but it also shows a strong interest in the ICANN conferences.

Artificial Neural Networks-ICANN 2005: Formal models and their applications

Artificial Neural Networks-ICANN 2005: Formal models and their applications PDF Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages :

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Book Description


Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes PDF Author: Krzysztof Patan
Publisher: Springer Science & Business Media
ISBN: 3540798714
Category : Technology & Engineering
Languages : en
Pages : 206

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Book Description
An unappealing characteristic of all real-world systems is the fact that they are vulnerable to faults, malfunctions and, more generally, unexpected modes of - haviour. This explains why there is a continuous need for reliable and universal monitoring systems based on suitable and e?ective fault diagnosis strategies. This is especially true for engineering systems,whose complexity is permanently growing due to the inevitable development of modern industry as well as the information and communication technology revolution. Indeed, the design and operation of engineering systems require an increased attention with respect to availability, reliability, safety and fault tolerance. Thus, it is natural that fault diagnosis plays a fundamental role in modern control theory and practice. This is re?ected in plenty of papers on fault diagnosis in many control-oriented c- ferencesand journals.Indeed, a largeamount of knowledgeon model basedfault diagnosis has been accumulated through scienti?c literature since the beginning of the 1970s. As a result, a wide spectrum of fault diagnosis techniques have been developed. A major category of fault diagnosis techniques is the model based one, where an analytical model of the plant to be monitored is assumed to be available.

Analysis and Modelling of Faces and Gestures

Analysis and Modelling of Faces and Gestures PDF Author: Shaogang Gong
Publisher: Taylor & Francis
ISBN: 9783540292296
Category : Computers
Languages : en
Pages : 424

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Book Description
This book constitutes the refereed proceedings of the Second International Workshop on Analysis and Modelling of Faces and Gestures, AMFG 2005, held in Beijing, China in October 2005 within the scope of ICCV 2005, the International Conference on Computer Vision. The 30 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 90 submissions. The papers give a survey of the status of recognition, analysis and modeling of face and gesture. The topics of these papers range from feature representation, robust recognition, learning, 3D modeling, to psychology.

INNOVATIONS IN SMART CITIES APPLICATIONS VOLUME 5

INNOVATIONS IN SMART CITIES APPLICATIONS VOLUME 5 PDF Author: Mohamed Ben Ahmed
Publisher: Springer Nature
ISBN: 3030941914
Category : Electronic books
Languages : en
Pages :

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Book Description
This book sets the innovative research contributions, works, and solutions for almost all the intelligent and smart applications in the smart cities. The smart city concept is a relevant topic for industrials, governments, and citizens. Due to this, the smart city, considered as a multi-domain context, attracts tremendously academics researchers and practitioners who provide efforts in theoretical proofs, approaches, architectures, and in applied researches. The importance of smart cities comes essentially from the significant growth of populations in the near future which conducts to a real need of smart applications that can support this evolution in the future cities. The main scope of this book covers new and original ideas for the next generations of cities using the new technologies. The book involves the application of the data science and AI, IoT technologies and architectures, smart earth and water management, smart education and E-learning systems, smart modeling systems, smart mobility, and renewable energy. It also reports recent research works on big data technologies, image processing and recognition systems, and smart security and privacy.

Handbook of Research on Mobile Multimedia, Second Edition

Handbook of Research on Mobile Multimedia, Second Edition PDF Author: Khalil, Ismail
Publisher: IGI Global
ISBN: 1605660477
Category : Computers
Languages : en
Pages : 1154

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Book Description
"The book is intended to clarify the hype, which surrounds the concept of mobile multimedia through introducing the idea in a clear and understandable way, with a strong focus on mobile solutions and applications"--Provided by publisher.

Advanced Functional Programming

Advanced Functional Programming PDF Author: Varmo Vene
Publisher: Springer
ISBN: 3540318720
Category : Computers
Languages : en
Pages : 362

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Book Description
This volume contains the revised lecture notes corresponding to nine of the lecture courses presented at the 5th International School on Advanced Functional Programming, AFP 2004, held in Tartu, Estonia, August 14 –21, 2004.

GMDH-Methodology and Implementation in C

GMDH-Methodology and Implementation in C PDF Author: Godfrey Onwubolu
Publisher: World Scientific
ISBN: 1783266848
Category : Computers
Languages : en
Pages : 304

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Book Description
Group Method of Data Handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modeling has been developed and applied to complex systems in areas like prediction, modeling, clusterization, system identification, as well as data mining and knowledge extraction technologies, to several fields including social science, science, engineering, and medicine. This book makes error-free codes available to end-users so that these codes can be used to understand the implementation of GMDH, and then create opportunities to further develop the variants of GMDH algorithms. C-language has been chosen because it is a basic language commonly taught in the first year in computer programming courses in most universities and colleges, and the compiled versions could be used for more meaningful practical applications where security is necessary. Contents:Introduction (Godfrey C Onwubolu)GMDH Multilayered Iterative Algorithm (MIA) (Godfrey C Onwubolu)GMDH Multilayered Algorithm Using Prior Information (Alexandr Kiryanov)Combinatorial (COMBI) Algorithm (Oleksiy Koshulko, Anatoliy Koshulko and Godfrey C Onwubolu)GMDH Harmonic Algorithm (Godfrey C Onwubolu)GMDH-Based Modified Polynomial Neural Network Algorithm (Alexander Tyryshkin, Anatoliy Andrakhanov and Andrey Orlov)GMDH-Clustering (Lyudmyla Sarycheva and Alexander Sarychev)Multiagent Clustering Algorithm (Oleksii Oliinyk, Sergey Subbotin and Andrii Oliinyk)Analogue Complexing Algorithm (Dmytro Zubov)GMDH-Type Neural Network and Genetic Algorithm (Saeed Fallahi, Meysam Shaverdi and Vahab Bashiri) Readership: Researchers, professionals, and senior undergraduate students in artificial intelligence, neural networks, decision sciences, and innovation technology. Key Features:No other book in the market makes error-free codes so readily available to the publicClearly presents the main variants of GMDH and supporting codes for users to understand the concepts involved, apply them, and build on the available codesContributors are world-renowned researchers in GMDHKeywords:GMDH;Inductive Modeling;MIA;COMBI;PNN;GMDH-Analog Complexing

Support Vector Machines for Pattern Classification

Support Vector Machines for Pattern Classification PDF Author: Shigeo Abe
Publisher: Springer Science & Business Media
ISBN: 9781849960984
Category : Technology & Engineering
Languages : en
Pages : 473

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Book Description
A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. The book presents architectures for multiclass classification and function approximation problems, as well as evaluation criteria for classifiers and regressors. Features: Clarifies the characteristics of two-class SVMs; Discusses kernel methods for improving the generalization ability of neural networks and fuzzy systems; Contains ample illustrations and examples; Includes performance evaluation using publicly available data sets; Examines Mahalanobis kernels, empirical feature space, and the effect of model selection by cross-validation; Covers sparse SVMs, learning using privileged information, semi-supervised learning, multiple classifier systems, and multiple kernel learning; Explores incremental training based batch training and active-set training methods, and decomposition techniques for linear programming SVMs; Discusses variable selection for support vector regressors.